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All Journal International Journal of Electrical and Computer Engineering JOIV : International Journal on Informatics Visualization
Salfarina Abdullah, Salfarina
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Computer Science & IT Electrical & Electronics Engineering

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How analytical hierarchy process prioritizing internet banking influencing factors? a research study Aziz, Khairi Azhar; Abdullah, Salfarina; Jabar, Marzanah A.; Haizan Nor, Rozi Nor; Ismarau Tajuddin, Nur Ilyana
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp6646-6653

Abstract

Internet banking is a method for conducting financial transactions online that makes use of the internet as a platform. Customers could transact at any time and from any location. Numerous aspects relating to the adoption of internet banking have been analyzed and studied in recent in-depth studies from the literature. This paper will merge these numerous predefined factors into a model by drawing on the various ideas related to the acceptance model. It was decided to adapt the analytical hierarchy process (AHP) method for finding the important numerous components for the model. The finest mathematical calculation method is AHP, which enables decision-makers to prioritize their ranking in order to satisfy various criteria. The goal of this research is to rank the elements that influence the use of online banking. Three main factors such as technical information, website and service availability were chosen as the main factors of the model based on the literature review. Sub-factors such as ease of use, responsiveness, privacy, reliability, security, communication and efficiency were also suggested and combined into a single integrated framework. Utilizing the systematic literature review (SLR) methodology, several factors were found. As a result, the article will enhance understanding of the unique elements supporting the adoption of internet banking.
Improving Data Reliability Assessment in ETL Processes through Quality Scoring Technique in Data Analytics Atika Razali, Nor Famiera; Baharom, Salmi; Abdullah, Salfarina; Admodisastro, Novia Indriaty
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3632

Abstract

The foundation of a relevant and accurate data analysis is reliable data. Technique and measurement are essential to evaluate current data quality regarding reliability and establish a baseline for ongoing improvement initiatives. Without tools or visualizations, data engineers may find it challenging to monitor and maintain the reliability of the massive data from the extraction, transformation, and loading (ETL) data load process. Data reliability assessment is a helpful technique in analyzing the quality of data reliability and information on the present state of data before commencing any analytics. The proposed technique hinges on the metric and measurement defining data reliability and the dashboard platform where the integration with the user in dictating the weight of data and the final output, which is the final data reliability score, will be projected. The score obtained affirms whether improvements are needed on the data or if an organization can proceed with data analytics. The technique considers the data extraction, transformation, and loading (ETL) procedures used to gather datasets. Data significance or weight was determined according to the analytics needs and preferences, indicating an acceptable score for generating insights. Ultimately, when utilizing the data reliability assessment metrics technique, we are credited with an overall picture of our data’s reliability aspect, as only one look is offered based on the intended analysis. This new approach boosts the confidence among data practitioners and stakeholders, especially those relying on findings generated from data analysis. Furthermore, the overview assists in enhancing the current state of data, where the derived score helps identify possible areas of improvement in the ETL process. Accuracy and efficiency assessment of the proposed technique also showed positive feedback in measuring the method in measuring the reliability of data.
Co-Authors Admodisastro, Novia Indriaty Atika Razali, Nor Famiera Aziz, Khairi Azhar Baharom, Salmi Ismarau Tajuddin, Nur Ilyana Jabar, Marzanah A. Rozi Nor Haizan Nor, Rozi Nor